囚禁与非囚禁男性的患者和住院差异:来自10年队列研究的见解
Farah Acher Kaiksow1, Amir Forati1, Kristin Merss2
1Department of Medicine, Division of Hospital Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Journal of hospital medicine
|February 27, 2026
概括
与非监禁患者相比,监禁患者有不同的医院护理需求和人口统计数据. 这项研究强调了监禁人口的医疗保健差异,强调了政策改进的必要性.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 流行病学 流行病学
- 健康 公平 卫生 公平
背景情况:
- 美国的监狱人口服务不足和老龄化,对他们的医院护理需求的数据有限.
- 流行病学数据对于政策制定者来说至关重要,以便为这一群体制定有效的健康战略.
- 这项研究比较了监禁和非监禁患者的住院数据.
研究的目的:
- 识别和比较监禁和非监禁患者在住院护理方面的差异.
- 来自一家主要的学术医疗中心,分析了10年的医院数据.
- 为卫生政策和对惩戒人口的资源分配提供信息.
主要方法:
- 一项为期10年的队列研究 (2010-2019) 将4525名监禁男性与13575名匹配的非监禁患者进行比较.
- 纳入标准:18岁以上的患者在惩戒部门的监护期间被录取.
- 主要结局:患者人口统计,并发症,住院时间和诊断.
主要成果:
- 与非监禁患者相比,监禁患者更有可能是黑人或西班牙裔/拉丁裔.
- 监禁队伍的平均查尔森并发症指数较高,特别是在40-59岁年龄组.
- 观察到服务录取的差异,监禁患者更常被录取到通用医疗机构,较少被录取到神经学/精神病学服务机构.
结论:
- 在监禁和非监禁个人之间,患者和住院特征存在显著差异.
- 这些差异对被监禁人口的健康有潜在的临床影响.
- 需要政策制定者和研究人员的紧急关注,以改善对这一边缘化群体的医疗保健.
相关概念视频
03:20The Stanford Prison Experiment
24.9K
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
24.9K
01:29Bias in Epidemiological Studies
1.4K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.4K
02:20Longitudinal Research
13.5K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.5K
01:15Bioavailability Study Design: Healthy Subjects Versus Patients
192
Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
192
01:20Comparing the Survival Analysis of Two or More Groups
674
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
674
01:26Longitudinal Studies
579
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
579